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Clinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

tacrolimus; C/D ratio; tacrolimus metabolism; everolimus; conversion; kidney transplantation; gut microbiome; renal transplant recipient; diarrhea; immunosuppressive medication; gut microbiota; 16S rRNA sequencing; butyrate-producing bacteria; Proteobacteria; torquetenovirus; immunosuppression; transplantation; immunosuppressed host; outcome; renal transplantation; Goodpasture syndrome; anti-GBM disease; epidemiology; hospitalization; outcomes; acute kidney injury; risk prediction; artificial intelligence; patent ductus arteriosus; conservative management; blood pressure; eradication; interferon-free regimen; hepatitis C infection; kidney transplant; allograft steatosis; lipopeliosis; transplant numbers; live donors; public awareness; Google TrendsTM; machine learning; big data; nephrology; chronic kidney disease; NLR; PLR; RPGN; predictive value; hemodialysis; withdrawal; cellular crescent; global sclerosis; procurement kidney biopsy; glomerulosclerosis; minimally-invasive donor nephrectomy; robot-assisted surgery; laparoscopic surgery; organ donation; living kidney donation; MeltDose®; LCPT; renal function; liver transplantation; metabolism; erythropoietin; fibroblast growth factor 23; death; weekend effect; in-hospital mortality; comorbidity; dialysis; elderly; klotho; α-Klotho; FGF-23; kidney donor; Nephrology; CKD-MBD; CKD-Mineral and Bone Disorder; deceased donor; Eurotransplant Senior Program; risk stratification; intensive care; kidney transplant recipients; long-term outcomes; graft failure; cardiovascular mortality; lifestyle; inflammation; vascular calcification; bone mineral density; dual-energy X-ray absorptiometry; living donation; repeated kidney transplantation; graft survival; prolonged ischaemic time; patient survival; pre-emptive transplantation; metabolomics; urine; acute rejection; allograft; cystatin C; hyperfiltration; kidney injury molecule (KIM)-1; tubular damage; genetic polymorphisms; (cardiac) surgery; inflammatory cytokines; clinical studies; chronic kidney disease (CKD); no known kidney disease (NKD); ICD-10 billing codes; phenotyping; electronic health record (EHR); estimated glomerular filtration rate (eGFR); machine learning (ML); generalized linear model network (GLMnet); random forest (RF); artificial neural network (ANN), clinical natural language processing (clinical NLP); discharge summaries; laboratory values; area under the receiver operating characteristic (AUROC); area under the precision-recall curve (AUCPR); fibrosis; extracellular matrix; collagen type VI; living-donor kidney transplantation; ethnic disparity

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-1135-1

País de edición

Suiza